initSemisupTab

window in which the 'semisupTab' is created.

mainWindow

frame of the RclusTool interface in which messages should be displayed.

console

frame of the RclusTool interface in which graphics should be dispayed.

graphicFrame

environment in which data and intermediate results are stored.

RclusTool.env

: if TRUE the whole tab is reset, with default options

reset

Generate the semi-supervised classification tab of the <code><a rd-options="" href="/link/RclusToolGUI?package=RclusTool&version=0.91" data-mini-rdoc="RclusTool::RclusToolGUI">RclusToolGUI</a></code>, in which the user can choose and configure the semi-supervised method to apply.

internal

Graphical toolbox for clustering and classification of data frames.
It proposes a graphical interface to process clustering and classification methods on features
data-frames, and to view initial data as well as resulted cluster or classes. According to the
level of available labels, different approaches are proposed: unsupervised clustering,
semi-supervised clustering and supervised classification.
To assess the processed clusters or classes, the toolbox can import and show some supplementary
data formats: either profile/time series, or images.
These added information can help the expert to label clusters (clustering), or to constrain data
frame rows (semi-supervised clustering), using Constrained spectral embedding algorithm by
Wacquet et al. (2013) <doi:10.1016/j.patrec.2013.02.003> and the methodology provided by
Wacquet et al. (2013) <doi:10.1007/978-3-642-35638-4_21>.

Pierre-Alexandre Hebert

RclusTool

Graphical Toolbox for Clustering and Classification of Data
Frames

Guillaume Wacquet

Emilie Poisson

Pierre Talon

initSemisupTab function

Generate the semi-supervised classification tab of the <code><a rd-options='' href='RclusToolGUI'>RclusToolGUI</a></code>, in which the user can choose and configure the semi-supervised method to apply.

initSemisupTab: Semi-Supervised tab

Description

Usage

Arguments

Details